Change base_url and compare providers without reworking the call shape.
All models.One API.
Kezeld az AI API-koltseget egy OpenAI-kompatibilis hosted API-n keresztul magyar csapatoknak. A misses a valodi upstreamet hivja, az ellenorzott Exact cache replay kedvezmenyesen szamlazodik, a nyugtak pedig lathatova teszik a koltseget SDK-integracio ujrairasa nelkul.
Kinek szol
Valodi API-forgalmat kezelo fejlesztoknek es kis csapatoknak keszult.
Ha a tokenkoltseget, az ismetlodo kerelmeket es az integralasi sebesseget figyeled, ez a hosted API reteg a meglévo SDK-d felett.
NextModel turns Fresh calls, exact-cache discounts, and receipts into one visible control layer above the SDK. That gives developers a place to keep unit economics honest and adopt a hosted API without reworking the app.
See the difference between Fresh and Exact cache before traffic multiplies.
Each request can expose served mode, usage source, and receipt links.
Rovid valasz
Mi az a NextModel?
A NextModel egy OpenAI-kompatibilis hosted API fejlesztoknek es kis csapatoknak, akik egy helyen akarjak kezelni a Fresh fallbacket, az Exact cache kedvezmenyeket es az atlathato nyugtakat, mielott a modellkoltseg no.
Teams use NextModel when they want a compatible hosted API without losing visibility into billing facts. The gateway keeps the familiar OpenAI SDK shape while adding transparent pricing context, exact-cache reuse, and receipts.
Egy gateway.
Legyen lathato a koltes, a policy es a forras.
Emelje ki a modellvalasztast, a koltsegkeretek szabalyait, a forrasok osszehasonlitasat es a hasznalati riportokat az alkalmazaskodbol. Az API ismeros marad, mikozben a dontesi reteg lathatova valik a termek- es platformcsapatoknak.
OpenAI SDK, many model sources.
Already using OpenAI? Change base_url, keep chat completions, streaming, tools, and JSON-oriented workflows.
client = OpenAI(
base_url="https://api.nextmodel.app/v1",
api_key=os.environ["NM_KEY"],
)
client.chat.completions.create(
model="claude-sonnet-4-5",
messages=[...],
)Policies before production traffic.
Route by workload, source, budget, latency, or capability instead of scattering rules across services.
Spend by key, project, and team.
See which application paths drive token cost and turn model selection into an operational decision.
Compare the gap before calling.
Budget-aware model operations.
Bring your own keys, assign project limits, and keep a clear audit trail for model API spend.
Domestic + global, one endpoint.
Compare Chinese and global model sources from one interface without implying official provider partnership.
126 modell,
egy shortlist.
Egyetlen endpoint modell-osszehasonlitashoz. Nezze meg az arat, a becsult kesleltetest, a provider forrasat es a workloadhoz valo illeszkedest, mielott termelesi forgalmat routol.
Gyorsinditas
Harom lepes egy meglevo SDK-tol a lathato koltseg-szabalyozasig.
Adjon ki egy kulcsot a projekthez, kornyezethez vagy munkaterheleshez, amit nyomon szeretne kovetni.
Allitsa az OpenAI SDK alap URL-jet https://api.nextmodel.app/v1 ertekre.
Hasznaljon egy modell azonositot a katalogusbol, majd hasonlitsa ossze a koltseget es a kimenet minoseget.
Koltsegiranyitas
Tartsd lathatoan a Fresh, cache es nyugta reteget, mielott a koltseg no.
This is the layer developers and small teams need once request volume and spend start to grow.
Understand which applications and environments are driving model spend.
See which requests hit the real upstream and which were safely replayed.
Transparent workflows
- Send requests through one OpenAI-compatible interface.
- Misses call the real upstream model.
- Exact cache hits are replayed with discounted billing.
- Use receipts and usage exports to reconcile what happened.
Dokumentacio CTA
Masoljon egy mukodo keresi Python, Node vagy curl nyelven.
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.nextmodel.app/v1"
)
resp = client.chat.completions.create(
model="doubao-seed-2-0-mini",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.NEXTMODEL_API_KEY,
baseURL: "https://api.nextmodel.app/v1",
});
const response = await client.chat.completions.create({
model: "doubao-seed-2-0-mini",
messages: [{ role: "user", content: "Hello from NextModel" }],
});
console.log(response.choices[0].message.content);curl https://api.nextmodel.app/v1/chat/completions \
-H "Authorization: Bearer $NEXTMODEL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "doubao-seed-2-0-mini",
"messages": [{"role": "user", "content": "Hello from NextModel"}]
}'Uj benchmark
Mielott bekapcsolja a gyorsitotarat, merje meg, hogy az ujrafelhasznalas biztonsagos-e.
A CacheSafety Bench ellenorzi a biztonsagos talalati aranyt, a rossz talalati aranyt, a szemantikai csapdahibakat es a koltsegmegtakaritast, mielott a csapatok megbiznak egy gyorsitotar-retegben.
A CacheSafety Bench segit a csapatoknak osszehasonlitani a biztonsagos talalati aranyt, a rossz talalati aranyt, a szemantikai csapdahibakat es a koltsegmegtakaritast, mielott eles kornyezetben megbiznanak egy gyorsitotar-retegben.
Benchmark felfedezeseKezdje most
Valassza ki a modellt, majd iranyitsa a koltsegeket.
Nyissa meg a gyorsinditast, masoljon egy keresit, es hasonlitsa ossze a valos munkaterheleset a Fresh es Exact cache arakkal.